Semaphore Reviews

Apache Flink Reviews

Semaphore mentions (17)

• Most Useful CI/CD Tools for DevOps

  Semaphore is a high-performance CI/CD platform designed for developers seeking speed and efficiency in their workflows. It establishes the CI/CD standards by leveraging the pull-request based development workflow. - Source: dev.to / 3 months ago

• Continuous Integration, Delivery, and Deployment: Best Practises, Benefits, and Tools

  Also, there are popular CI/CD tools like Travis CI, BitBucket pipeline, Semaphore CI, and so on. - Source: dev.to / over 1 year ago

• Measuring Page Speed with Lighthouse

  If you have Node installed, you can run npm install -g lighthouse and run the tool in the command line like this: lighthouse https://semaphoreci.com. - Source: dev.to / over 1 year ago

• free-for.dev

  Semaphoreci.com — Free for Open Source, 100 private builds per month. - Source: dev.to / over 1 year ago

• Implementing DORA key software delivery metrics

  Here is the code to get all the tags using GitHub's GraphQL api, here for getting all the TravisCI builds and here all the Semaphore's ones. - Source: dev.to / over 2 years ago

Apache Flink mentions (30)

• Show HN: Restate, low-latency durable workflows for JavaScript/Java, in Rust

  Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 14 days ago

• Array Expansion in Flink SQL

  I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / about 1 month ago

• Show HN: An SQS Alternative on Postgres

  You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 2 months ago

• Top 10 Common Data Engineers and Scientists Pain Points in 2024

  Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 3 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 5 months ago